Hey all, i've made a map of the electoral boundaries and polling booths using available data: Electoral Map of India <https://api.mapbox.com/styles/v1/planemad/cjoescdh20cl62spey0zj3v19.html?fresh=true&title=true&access_token=pk.eyJ1IjoicGxhbmVtYWQiLCJhIjoiemdYSVVLRSJ9.g3lbg_eN0kztmsfIPxa9MQ#4.56/22.34/75.08>
Data sources: - Assembly constituency boundaries: Datameet https://github.com/datameet/maps/tree/master/assembly-constituencies - Polling booths: Raphael Susewind (2014) https://pub.uni-bielefeld.de/data/2674065 Have used the assembly boundaries as they had a higher definition the the parliamentary boundaries. When you zoom in the PC name should be visible. Is there a more recent dataset of the polling booths available anywhere? Found scraped data from the ECI site at https://github.com/aaronrudkin/IndianPollingStations from 5 months ago, but looks like the latlong values were not scraped and has been geocoded to the town centre which are not very useful. The scraper also does not seem to work anymore. On Tue, Mar 19, 2019 at 7:43 AM Avinash Celestine < [email protected]> wrote: > Constituency boundaries were last delimited in 2008, and have not changed > since. > > On Sat, Mar 16, 2019 at 12:06 AM Arun Ganesh <[email protected]> wrote: > >> With the upcoming elections, this would be a hot dataset that everyone >> will be looking for. The best available dataset on the web right now is on >> the datameet repository >> <https://github.com/datameet/maps/tree/master/parliamentary-constituencies> >> updated during the previous elections in 2014. >> >> Does anyone know if there have been changes in the constituency >> boundaries since 2014? Also the existing boundaries are fairly generalized >> resulting in an accuracy of around a km. >> >> See this comparison for Bengaluru: 1) PC shapes from datameet 2) AC >> shapes from datameet 3) PC shapes from Karnataka KSRAC >> [image: new1.gif] >> >> The KSRAC boundaries was queried from their geoserver >> <https://stg1.ksrsac.in/maps/rest/services/Polling/Polling_PC/MapServer/0/query?where=OBJECTID+is+not+null&text=&objectIds=&time=&geometry=&geometryType=esriGeometryEnvelope&inSR=&spatialRel=esriSpatialRelIntersects&relationParam=&outFields=&returnGeometry=true&returnTrueCurves=false&maxAllowableOffset=&geometryPrecision=&outSR=4326&returnIdsOnly=false&returnCountOnly=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&returnZ=false&returnM=false&gdbVersion=&returnDistinctValues=false&resultOffset=&resultRecordCount=&f=geojson> >> and >> are super accurate upto the street level, but is limited to only Karnataka. >> Does anyone know how we can source this for the entire country? >> >> -- >> Datameet is a community of Data Science enthusiasts in India. Know more >> about us by visiting http://datameet.org >> --- >> You received this message because you are subscribed to the Google Groups >> "datameet" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected]. >> For more options, visit https://groups.google.com/d/optout. >> > -- > Datameet is a community of Data Science enthusiasts in India. Know more > about us by visiting http://datameet.org > --- > You received this message because you are subscribed to the Google Groups > "datameet" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > For more options, visit https://groups.google.com/d/optout. > -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
